Natural Language Processing: Teaching Machines to Read

I always thought NLP was magic. How can a machine understand sarcasm or context? The reality is, they don't 'understand' in the human sense. They learn patterns in text. The first step is usually turning words into numbers (embeddings). I remember playing with Word2Vec and seeing that 'king' - 'man' + 'woman' = 'queen'. That moment was a huge 'aha' for me. It’s not sentience, but it’s a mathematical representation of relationships. It’s a powerful way to look at language.